International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 43 - Number 16 |
Year of Publication: 2012 |
Authors: Anuya Welling, Ankit Parekh, Pallak Jhawar, Pratik Munot, Amit Savyanavar |
10.5120/6185-8657 |
Anuya Welling, Ankit Parekh, Pallak Jhawar, Pratik Munot, Amit Savyanavar . Storage Aggregation over a Network. International Journal of Computer Applications. 43, 16 ( April 2012), 4-7. DOI=10.5120/6185-8657
The most valuable asset of any organization is data. Should this data be lost, it can be a potential threat to any business. Any enterprise/ company cannot afford such business interruptions. Such companies normally use the client server model to store their data. In the client-server model, all the data is stored on a server and the clients' access it. This system has its own disadvantages. The fundamental one being that the space on the client machines is not utilized to the fullest. In order to overcome this limitation, we propose a model in which server utilizes the available space on the client machines which can be used for backup. Thus we describe a novel method which stores the data on the clients rather than on the server. Hence the cost, risk of losing the data and dependency on the server is reduced as well as the client storage space is fully utilized. Thus optimum usage of storage space on the clients to improve the efficiency and reliability of data storage on the network is the main aim of the project.